Data Scientist Jobs in Hesse, Germany

Credit & Risk Management team at A11 builds the Smart Risk engine for a leading European B2B mobility and payment platform. The Senior Data Scientist owns end‑to‑end ML pipelines, designs risk models, and creates data‑driven use cases such as early‑warning systems and portfolio insights.

Geo Owl Intelligence Team develops advanced geospatial and AI-driven analytics for national security missions. The Intelligence Data Scientist transforms complex intelligence data into actionable insights using machine learning, statistical analysis, and interactive visualizations.

Prior Labs is a fast‑growing AI startup focused on building foundation models for structured data. The Data Scientist role bridges cutting‑edge research and real‑world applications, requiring deep expertise in Python, machine learning, and software engineering.

Data Scientist at Agile Defense, part of the CDAO ADA IR program, builds AI‑enabled data solutions for DoD mission‑critical environments. The role designs scalable pipelines, engineers features, and deploys ML services in secure, containerized settings while collaborating with product managers, developers, and platform engineers.

RealAdvisor is a leading European real estate digital platform supporting 7,000+ agencies and 10+ million users annually, with a mission to help real estate professionals grow through data, transparency, and smart technology. As a business-oriented Data Scientist, you will consolidate and analyze diverse product, marketing, and transactional data, build ML models and experiments to drive subscription growth, and translate insights into concrete product and marketing actions.

Rewire’s Data Science team drives AI‑powered solutions that turn data into tangible business impact. As a Data Scientist you build predictive models, apply machine learning techniques, and translate insights into actionable strategies for clients across Germany.

Analytics & Automation team at R+V Versicherungen develops data-driven CRM strategies and predictive models. The Data Scientist extracts insights from diverse data sources, builds segmentation rules and AI‑enabled recommendations to improve customer outreach.

GEOINT Analytics Team at SOSi supports US Army INSCOM by developing advanced analytical models for mission‑critical intelligence. The Data Scientist Expert designs and operationalizes machine learning pipelines, integrates tabular, geospatial and unstructured data, and delivers predictive insights and visualizations to inform decision‑making.

Customer Success team at LEAP Digital Marketing transforms client businesses by turning data into measurable value. The Data Scientist builds and deploys AI‑driven models, integrates heterogeneous data sources, and creates KPI frameworks for executive decision‑making while advancing LEAP’s analytical architecture on a modern MCP‑stack.

Finance Analytics Team at Fielmann drives data‑based financial planning and reporting. The Data Scientist builds AI‑enabled forecasting, budgeting and KPI models, creates dashboards with Power BI/Tableau, and automates finance processes using Python, SQL and generative AI tools.

Foundational Data Science team at Prior Labs builds the next generation of tabular foundation models that can solve data‑science problems across domains. The role invents frontier tools, creates benchmark datasets, and designs agentic pipelines to scale model development while collaborating with world‑class researchers.

ICIS Commodity Markets Data Science team builds predictive market models and pricing tools for the energy and chemicals sectors. The Senior Data Scientist designs, improves and maintains Python/Dash applications and machine learning models, collaborates with global market experts, and drives cloud‑based automation.

ICIS Data Science team drives data‑based innovation for energy and chemical markets. The Senior Data Scientist designs, improves and maintains Python (Dash) applications and quantitative market models, collaborates with global market experts, and supports cloud‑based automation and operational model monitoring.

The AVP — Data Scientist & AI Engineer is a hands-on technical leadership role within the Risk & Compliance division at Barclays Capital Securities, working closely with the VP — Data Analytics & AI Lead. The role holder designs, builds, and deploys advanced analytics and AI solutions across risk domains, translating business and regulatory requirements into production-grade machine learning models, data pipelines, and AI-powered applications.

Senior Data Scientist at Knuddels, a social network focused on genuine human connection. Lead a small data science team to mine user data, build forecasting and recommendation models, and translate insights into product and community improvements.

AI Garage at Capgemini Invent drives AI‑enabled business transformation by delivering end‑to‑end machine‑learning and advanced‑analytics solutions. The role designs and implements innovative ML models and analytics pipelines from strategy through rapid prototyping to production, while leading project workstreams and shaping service offerings.

Knuddels Data Science Team, dedicated to making social networks truly social, seeks a Senior Data Scientist to lead a small team and drive data‑driven decisions across product, community and executive levels. The role blends hands‑on analytics—clustering, forecasting, recommendation classification—with strategic guidance, ensuring data quality and translating insights into actionable improvements.

As a data scientist operating and supporting a four-star Army Headquarters, you'll bring your technical, computer science, data analysis, and data science expertise to collaborate, design and build innovative Solutions at an Army Service Component Command in support of operations in Europe and Africa. As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l int

Als Actuarial Data Scientist (m/w/d) konzipierst, entwickelst und betreibst Du sowohl aktuarielle Kalkulationsmodelle als auch Data-Science-Anwendungen für die Neugeschäftstarife und Beitragsanpassungen in der Sparte Kfz

Zielsetzung: Ziel der Position ist die Entwicklung und Implementierung datenbasierter Lösungen zur frühzeitigen Fehlererkennung, Reduzierung ungeplanter Anlagenstillstände sowie Verbesserung von Troubleshooting und technischem Kundensupport.